Piast Gate: Open-Source API Proxy for LLM Data Anonymization

What Piast Gate Does
Piast Gate is an open-source API proxy that sits between your application and an LLM. Its core function is to anonymize sensitive data before sending it to the model, then restore the original data in the response. This enables applications to use LLMs with internal or sensitive data without exposing that information to the model. Integration is designed to be simple—just point your application to the proxy.
Current Features
- Automatic data anonymization → LLM request → de-anonymization
- Integration with Google Gemini API
- Polish language support
- Can run locally
- Option to anonymize text without sending it to an LLM
- Option to anonymize Word documents (.docx)
Planned Features
- Support for additional providers (OpenAI, Anthropic, etc.)
- Support for more languages
- Streaming support
- More advanced anonymization strategies
The project aims to make privacy-aware LLM usage easier to implement in real applications. It's currently in MVP stage and the developer is seeking feedback, ideas, or contributions.
📖 Read the full source: r/LocalLLaMA
👀 See Also

Super Claude browser extension makes Claude.ai UI fully customizable
A developer built a browser extension that lets users customize every aspect of Claude.ai's interface — colors, fonts, layout, plus usage tracking and token counting. The extension works on Chrome and Firefox and was developed using Claude itself.

Academic Research Skills for Claude Code: A Human-in-the-Loop Pipeline for Paper Writing
Academic Research Skills (ARS) v3.7.0+ is a Claude Code plugin that automates reference hunting, citation formatting, data checking, and logical consistency review while keeping the human researcher in control. Install via /plugin marketplace add Imbad0202/academic-research-skills.

Crag: Open-source tool generates unified AI agent rules from project configs
Crag is an open-source compiler that analyzes project configurations and generates a single governance.md file, then compiles it into multiple AI agent rule files to prevent configuration drift across tools like Claude Code, Cursor, and Copilot.

Constrails: Early-Alpha External Governance Layer for AI Agents
Constrails is an external runtime governance layer for AI agents that places a control layer between agents and their tools, implementing capability checks, risk scoring, policy evaluation, and audit logging. The early-alpha project aims to address safety concerns by moving controls outside the agent itself.